11th Joint International Conference on Information Sciences

Acceptance Double Sampling Plan with Fuzzy Parameter

Authors
Ezzatallah Baloui Jamkhaneh 0, Bahram Sadeghpour-Gildeh, Gholamhossein Yari
Corresponding Author
Ezzatallah Baloui Jamkhaneh
0Science&Research Branch,Islmic Azad University,Tehran,Iran
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.1How to use a DOI?
Keywords
Statistical quality control, acceptance double sampling, fuzzy number
Abstract
In the present paper we have proposed a method for designing acceptance double sampling plans with fuzzy quality characteristic. we have argued the acceptance double sampling plan when the fraction of defective items is a fuzzy number. These plans are well defined since if the fraction of defective items is crisp they reduce to classical plans. As it was shown that oc curves of the plan is like a band having a high and low bounds whose width depends on the ambiguity proportion parameter in the lot when that sample size and acceptance numbers is fixed. In this plan if the process quality is very good or very bad, then the fuzzy average sample number will be of lower values.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ezzatallah Baloui Jamkhaneh
AU  - Bahram Sadeghpour-Gildeh
AU  - Gholamhossein Yari
PY  - 2008/12
DA  - 2008/12
TI  - Acceptance Double Sampling Plan with Fuzzy Parameter
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.1
DO  - https://doi.org/10.2991/jcis.2008.1
ID  - BalouiJamkhaneh2008/12
ER  -